Markus Bauer

33.5k total citations · 1 hit paper
9 papers, 6.9k citations indexed

About

Markus Bauer is a scholar working on Molecular Biology, Oncology and Artificial Intelligence. According to data from OpenAlex, Markus Bauer has authored 9 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Artificial Intelligence. Recurrent topics in Markus Bauer's work include Genomics and Phylogenetic Studies (4 papers), Gene expression and cancer classification (2 papers) and Algorithms and Data Compression (2 papers). Markus Bauer is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Gene expression and cancer classification (2 papers) and Algorithms and Data Compression (2 papers). Markus Bauer collaborates with scholars based in Austria, Netherlands and Germany. Markus Bauer's co-authors include J. Gregory Caporaso, Christian L. Lauber, Sarah M. Owens, Niall Gormley, Louise Fraser, Donna Berg-Lyons, Rob Knight, James S. Huntley, William A. Walters and Jason Betley and has published in prestigious journals such as Bioinformatics, Cancer Research and The ISME Journal.

In The Last Decade

Markus Bauer

9 papers receiving 6.8k citations

Hit Papers

Ultra-high-throughput microbial community analysis on the... 2012 2026 2016 2021 2012 2.0k 4.0k 6.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Markus Bauer Austria 6 3.2k 2.2k 924 776 534 9 6.9k
Louise Fraser United Kingdom 6 3.4k 1.1× 2.4k 1.1× 942 1.0× 788 1.0× 543 1.0× 10 7.5k
James S. Huntley United Kingdom 19 3.4k 1.1× 2.3k 1.0× 916 1.0× 795 1.0× 548 1.0× 91 8.3k
Jason Betley United Kingdom 12 3.6k 1.1× 2.5k 1.1× 982 1.1× 804 1.0× 547 1.0× 16 7.9k
Erick Cardenas United States 18 3.1k 1.0× 2.4k 1.1× 817 0.9× 901 1.2× 543 1.0× 28 6.4k
Niall Gormley United Kingdom 22 3.7k 1.2× 2.4k 1.1× 1000 1.1× 783 1.0× 544 1.0× 36 8.3k
Anna Klindworth Germany 7 3.0k 0.9× 2.2k 1.0× 675 0.7× 741 1.0× 564 1.1× 9 6.6k
Ben Nichols United Kingdom 12 3.6k 1.1× 3.0k 1.4× 1.4k 1.5× 571 0.7× 383 0.7× 40 7.8k
Rebecca L. Vega Thurber United States 16 4.2k 1.3× 2.8k 1.3× 781 0.8× 900 1.2× 348 0.7× 21 8.4k
Mark Rojas United States 11 4.6k 1.5× 2.8k 1.2× 870 0.9× 822 1.1× 604 1.1× 15 8.9k

Countries citing papers authored by Markus Bauer

Since Specialization
Citations

This map shows the geographic impact of Markus Bauer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Markus Bauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Bauer more than expected).

Fields of papers citing papers by Markus Bauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus Bauer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Markus Bauer. The network helps show where Markus Bauer may publish in the future.

Co-authorship network of co-authors of Markus Bauer

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Bauer. A scholar is included among the top collaborators of Markus Bauer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Markus Bauer. Markus Bauer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Bauer, Markus, et al.. (2021). Coral: a web-based visual analysis tool for creating and characterizing cohorts. Bioinformatics. 37(23). 4559–4561. 2 indexed citations
2.
Zöchbauer‐Müller, Sabine, Helmut Prosch, A. Cseh, et al.. (2021). Case Report: Afatinib Treatment in a Patient With NSCLC Harboring a Rare EGFR Exon 20 Mutation. Frontiers in Oncology. 10. 593852–593852. 12 indexed citations
3.
Wernitznig, Andreas, Jesse Lipp, Thomas Zichner, et al.. (2020). Abstract 3227: CLIFF, a bioinformatics software tool to explore molecular differences between two sets of cancer cell lines. Cancer Research. 80(16_Supplement). 3227–3227. 2 indexed citations
4.
Zinzalla, Vittoria, Barbara Drobits, Alexander Savchenko, et al.. (2019). Abstract DDT01-01: BI 905677: A first-in-class LRP5/6 antagonist targeting Wnt-driven proliferation and immune escape. DDT01–1. 2 indexed citations
5.
Zinzalla, Vittoria, Barbara Drobits, Alexander Savchenko, et al.. (2019). Abstract DDT01-01: BI 905677: A first-in-class LRP5/6 antagonist targeting Wnt-driven proliferation and immune escape. Cancer Research. 79(13_Supplement). DDT01–1. 5 indexed citations
6.
Marschall, Tobias, Ivan G. Costa, Stefan Canzar, et al.. (2012). CLEVER: clique-enumerating variant finder. Bioinformatics. 28(22). 2875–2882. 52 indexed citations
7.
Caporaso, J. Gregory, Christian L. Lauber, William A. Walters, et al.. (2012). Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms. The ISME Journal. 6(8). 1621–1624. 6693 indexed citations breakdown →
8.
Bauer, Markus, Anthony J. Cox, & Giovanna Rosone. (2012). Lightweight algorithms for constructing and inverting the BWT of string collections. Theoretical Computer Science. 483. 134–148. 45 indexed citations
9.
Cox, Anthony J., Markus Bauer, Tobias Jakobi, & Giovanna Rosone. (2012). Large-scale compression of genomic sequence databases with the Burrows–Wheeler transform. Bioinformatics. 28(11). 1415–1419. 87 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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